Machine Learning Engineer – Applied AI Systems

San Francisco, CA – On-site

$170k–$250k + equity

A venture-backed AI company is expanding its engineering group and looking for a Machine Learning Engineer to help push forward a new generation of decision-support products used in complex, data-heavy environments.

The team builds systems that analyse large, unstructured datasets and surface insights that help organisations make high-stakes choices more consistently. You’ll join a small group of engineers and researchers working on applied ML problems that combine pattern recognition, anomaly detection, language modelling and real-time data interpretation.

This is a hands-on engineering role where you’ll prototype, train, evaluate and productionise models that directly shape the product experience.

What you’ll work on

Designing and implementing ML pipelines for processing a wide variety of semi-structured inputs.
Training and adapting large language models to handle classification, extraction and reasoning tasks.
Developing methods to identify irregularities, inconsistencies and unusual patterns within customer-supplied data.
Improving the performance, latency and reliability of deployed models at scale.
Collaborating with software engineers to integrate new capabilities into customer-facing features.
Exploring new approaches in multimodal modelling, retrieval-augmented generation and adaptive learning systems.

Who you might be

Someone with professional experience in ML engineering, data science, applied research or similar.
Confident programming in Python and fluent with at least one modern deep learning toolkit.
Comfortable working with messy, real-world data rather than clean academic datasets.
Experience with information extraction, language models, anomaly detection or data quality modelling is valuable.
Interested in joining a company where the ML team has genuine influence over product direction.
Enjoys experimentation, iteration and solving problems that don’t have an obvious starting point.

(No strict requirement on years — strength of experience matters more than time served.)

Why this is different

You’ll work on technically challenging problems where accuracy genuinely matters.
The company is scaling quickly and investing heavily in expanding its AI group.
You’ll collaborate closely with product and engineering leadership, not sit in a research silo.
The environment is fast-moving, with opportunities to own projects end-to-end.
Generous salary, equity and benefits package.

Location & Work Style

On-site in San Francisco to support a highly collaborative engineering culture.
Hybrid flexibility may be available for senior hires already living in the Bay Area.

Ikuto

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